Chris McCool
About
In The Last Decade
Chris McCool
97 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Plant Science 1.8k
- Computer Vision and Pattern Recognition 826
- Analytical Chemistry 496
- Mechanical Engineering 492
- Signal Processing 486
Countries citing papers authored by Chris McCool
This map shows the geographic impact of Chris McCool's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chris McCool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris McCool more than expected).
Fields of papers citing papers by Chris McCool
This network shows the impact of papers produced by Chris McCool. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chris McCool. The network helps show where Chris McCool may publish in the future.
Co-authorship network of co-authors of Chris McCool
This figure shows the co-authorship network connecting the top 25 collaborators of Chris McCool. A scholar is included among the top collaborators of Chris McCool based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris McCool. Chris McCool is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 34 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 26 | |
| 11 | Content specific feature learning for fine-grained plant classification | 14 |
| 12 | On Visual Detection of Highly-occluded Objects for Harvesting Automation in Horticulture | 7 |
| 13 | 90 | |
| 14 | Fine-grained plant classification using convolutional neural networks for feature extraction | 23 |
| 15 | Improved Object Tracking via Bags of Affine Subspaces. | 2 |
| 16 | Bi-Modal Authentication in Mobile Environments Using Session Variability Modelling | 5 |
| 17 | Normalisation of 3D face data | 2 |
| 18 | Robust Face Localisation Using Motion, Colour and Fusion. | 2 |
| 19 | 26 | |
| 20 | 25 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.